Pavan Kumar Kandapagari Email & Phone Number

Munich, By, De

Munich, By, De

Munich, Bavaria, Germany

Munich, Bavaria, Germany

. Developed a object detection and segmentation library as a node in robot visionpipeline.. Researched and implemented a semi-supervised AI-based visual inspectionframework to aid in industrial QA checks.. Responsible for GitLab-runners used in CI/CD for all the team projects.. User testing for in-house development/deployment tools

Hildesheim, Lower Saxony, Germany

Master thesis on Object tracking under supervision of Prof. Dr.-Ing. Sebastian Stober, OVGU Magdeburg, and Herr Kapelner Tamas (CR/AEC4), Bosch.• Main objective of this thesis is to build and train a model that can track the detected object across the field of the environment given bounding boxes from objects detected beforehand. • Multiple Object Tracking (MOT), is a computer vision task that aims to analyze videos to identify and track objects belonging to one or more categories, such as pedestrians, cars, animals and inanimate objects, without any prior knowledge about the appearance and number of targets. • This task is especially challenging for crowded scenes where the objects may interact or have overlapping trajectories. • One recent DL paradigm called Shared Memory Augmented Neural Networks (SHAMANN) has the ability to use both temporal and global context information to solve challenging tasks. • this thesis aims to investigate the use of this model for multiple object tracking in crowded scenes.

Karlsruhe Area, Germany

Tasked with redesign of the classification system for vision checkout with deep learning using feature extraction and transfer learning, from scratch using python. • Implemented with PyTorch and inferenced with ONNX for speed improvement. • Trained a mobilenetv2 classifier using food data for transfer learning.• Created, refined and documented 12 classifier and detector datasets for evaluation.• Documentation was maintained using confluence• Project progress tracked and maintained using Jira.• Worked with GCP and GitLab

Magdeburg

Under the supervision of Professor Dr.-Ing. Sandro Schulze, I worked as a teaching assistant working alongside the professor and four other students to take up exercises for the “Introduction to Computer Science for Engineers” course, which introduces Digital Engineering students to the programming and data structures world with Java as its forefront.

Chittoor

Installation and commissioning of Chargers (rectifiers) for the battery charging process. Involved in computer-aided design of structures to improve productivity and reduce breakdown time. Facilitating QCC projects among workmen. Ability to manage integrated tasks.

Chittoor

Involved in installation and commissioning of a new technology called Acid circulation system(ACS). Analyze and improvement of assembly-line methods.

Master Of Science - Ms, Digital Engineering, 1.8

Bachelor Of Technology (B.Tech.), Mechenical Engineering, 75%

High School Diploma, Mathematics, 91.4%

Primary School Degree, 90%